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Now showing items 71-77 of 77
Detecting tweet sentiment and sarcasm on online learning during covid-19
(Brac University, 2023-01)
COVID-19 pandemic has created a lot of challenges for student learning and educa tion across the globe. As a result of the global increase of the state of COVID-19,
numerous educational institutions in the whole world ...
Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
(Brac University, 2023-09)
Cancer, an enduring medical enigma with historical recognition dating back to ancient
civilizations, remains without a definitive cure. This research undertakes a
comprehensive investigation encompassing nine prevalent ...
An efficient deep learning approach to classify white blood cells
(Brac University, 2023-09)
The human immune system’s white blood cells (WBCs) fight against infection and
prevent the body from potentially harmful substances. They consist of neutrophils,
eosinophils, basophils, monocytes, and lymphocytes, each ...
Brain tumor detection with convolutional neural network
(Brac University, 2023-09)
The brain is the command center of our nervous system, which enables thoughts,
memories, movements, and emotions. In other words, it is the most important organ
in the human body. The human brain is very vulnerable to ...
Verifying online signatures through an iterative device independent model
(Brac University, 2023-01)
Hand signatures are getting used from as early as we invented writing. In 3100 BC,
we found examples of people using words and symbols to denote their identity. It has
also been used as a method of identification. Modern ...
Polycystic ovary syndrome detection using neural network.
(Brac University, 2023-01)
A fairly frequent endocrine abnormality among women of reproductive age is polycystic
ovary syndrome (PCOS). In this disease, the ovaries produce abnormally high
levels of androgens, which are male sex hormones that are ...
Real-time driving monitoring system on a single-board computer utilizing deep neural networks integrated with MiDAS
(Brac University, 2023-09)
In recent years, road safety has emerged as a critical concern due to the increasing
number of accidents attributed to driver negligence and fatigue. This thesis
addresses this pressing issue by proposing a Real-Time ...